jy
New Member
Posts: 7
|
Post by jy on Feb 28, 2014 9:22:45 GMT
Source Variance SE V(G)_tr1 0.041200 0.023290 V(G)_tr2 0.011848 0.033942 C(G)_tr12 0.022093 0.020905 V(e)_tr1 0.095301 0.023137 V(e)_tr2 0.149957 0.034289 Vp_tr1 0.136501 0.004906 Vp_tr2 0.161805 0.006684 V(G)/Vp_tr1 0.301828 0.169481 V(G)/Vp_tr2 0.073222 0.209652 The estimate of variance explained on the observed scale is transformed to that on the underlying scale: (Proportion of cases in the sample = 0.170861; User-specified disease prevalence = 0.003000 for disease 1 and = 0.002000 for disease 2) V(G)/Vp_tr1_L 0.227704 0.127859 V(G)/Vp_tr2_L 0.046395 0.132840 rG 1.000000 1.703423 logL 1235.137 n 2731
Hello, given the above, I'd like to ask about the possibility of rG being 1 between 2 different traits and what could have gone wrong from your experience.
Also would appreciate if you enlighten on possibly why the variance is so large, from your experience.
Appreciate your input...
|
|
|
Post by Jian Yang on Mar 1, 2014 11:39:38 GMT
The SE is 1.7, which means that the true parameter can be anywhere between -1 and 1, so that you can't conclude anything from the result. It's just because the sample size is not large enough.
|
|